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Multi-task SonoEyenet: detection of fetal standardized planes assisted by generated sonographer attention maps

Abstract:

We present a novel multi-task convolutional neural network called Multi-task SonoEyeNet (M-SEN ) that learns to generate clinically relevant visual attention maps using sonographer gaze tracking data on input ultrasound (US) video frames so as to assist standardized abdominal circumference (AC) plane detection. Our architecture consists of a generator and a discriminator, which are trained in an adversarial scheme. The generator learns sonographer attention on a given US video frame to predi...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-030-00928-1_98

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Hilda's College
Role:
Author
More from this funder
Grant:
ERC-ADG-2015 694581 for project PULSE
Publisher:
Springer Publisher's website
Journal:
Lecture Notes in Computer Science Journal website
Series:
Lecture Notes in Computer Science
Host title:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
Publication date:
2018-09-16
Acceptance date:
2018-05-25
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
Source identifiers:
854811
ISBN:
9783030009281
Keywords:
Pubs id:
pubs:854811
UUID:
uuid:0198daa3-fcc0-4b5f-817a-ffdf6bd5e6c7
Local pid:
pubs:854811
Deposit date:
2018-06-04

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